Agronomic Crop Imaging

Sandesh Neupane completed his PhD in plant sciences at the University of Saskatchewan, where his research centered on integrating UAV-derived phenotypes with genomics to understand crop growth and yield formation across environments. He is currently a postdoctoral research fellow in the Agronomic Crop Imaging Lab, where he works on the application of UAV-based phenotyping to support breeding and agronomic decision-making. 

His current projects focus on crop improvement, with an emphasis on estimating harvest index, supporting early-generation selection, and screening for diseases and abiotic stresses using multispectral, RGB, and thermal imagery. A defining aspect of his work is close collaboration with breeding programs to ensure that digital phenotypes are interpretable and useful in real-world selection contexts. He is interested in interdisciplinary approaches that combine field experimentation, image processing, and quantitative analysis to address challenges in sustainable crop production. 

Google Scholar: https://scholar.google.ca/citations?user=q31hhcMAAAAJ&hl=en